Senior Frontend Engineer

Newfold Digital•Florida - Remote, NS

About The Position

At Bluehost, we believe all small businesses deserve the opportunity to succeed online. Our mission is to give small businesses the confidence to think big. We're the all-in-one platform for small businesses to grow online with powerful simplicity, premium performance, smart tools and human support. This role is a part of Bluehost's innovation team, the group building the AI-native backbone of our platform while the rest of the business scales around us. You'll design async, production-grade backend systems that treat AI as a first-class citizen: multi-agent orchestration, retrieval-augmented generation, and provider-agnostic LLM integration, all woven into products millions of small businesses depend on. We want a true go-getter who can take an idea from whiteboard to production without waiting to be told how.

Requirements

5+ years building production backend systems in Python, with real async I/O experience
Hands-on experience designing and scaling REST or async APIs, including dependency injection and clean service architecture
Practical experience integrating LLM APIs (OpenAI, Gemini, or similar) and building AI-readiness into backend systems from the ground up
Real experience with vector databases and RAG-style retrieval architectures, not just reading about them
Strong relational database skills: schema design, query optimization, and migration discipline
AI-augmented delivery: you use AI across the delivery lifecycle, not just code generation, and can say which models suit which problems and where you don't use them. You review AI-generated code knowing its failure modes, and you have set the guardrails others work inside — review expectations for generated code, provenance and licensing checks, and clear boundaries for what customer data enters a prompt and what a security or compliance review will ask for.
End-to-end CI/CD ownership, from build and test through packaging and deployment
A self-starting, go-getter mindset: comfortable with ambiguity, fast iteration, and owning a problem until it's actually solved

Nice To Haves

Bonus: experience with multi-agent orchestration frameworks (Semantic Kernel, LangChain, or similar) and LLM cost/observability tooling

Responsibilities

Design and scale async REST/WebSocket APIs in Python (FastAPI or similar), using dependency injection, type hints, and clean, vertical-slice architecture
Implement multi-agent workflows (sequential, concurrent, and handoff patterns) to route work among specialized LLM agents
Integrate multiple LLM providers behind a provider-agnostic layer, enabling A/B testing and cost-aware routing rather than hard-coding a single vendor
Build and maintain Retrieval-Augmented Generation (RAG) pipelines against vector stores such as pgvector, Chroma, or a managed vector search service
Design schemas and evolve data models (SQLAlchemy/SQLModel-style ORM plus migrations) that support both traditional application logic and AI-driven features
Instrument services with structured logs, distributed tracing, and cost/latency metrics, holding a real bar for p95 response time under production load
Maintain end-to-end CI/CD ownership, lint, type-check, test, package, and deploy, so releases are boring and safe
Champion AI across the delivery lifecycle, not just code generation, and set the guardrails the team works inside: how generated code gets reviewed, how provenance and licensing are checked, and what customer data may enter a prompt
Move ideas from concept to production fast, with real ownership over architecture and outcomes, not just tickets